Tag "master's programmes "

HSE's Faculty of Computer Science and Skoltech are pleased to announce the launch of the second joint Olympiad in Statistical Learning Theory (SLT). The competition will be open to undergraduate and graduate students specializing in fields related to Applied Mathematics and Informatics. Following a pre-selection phase (application details below), the Olympiad finals will be held at Skoltech on April 6-7, 2019.

HSE offers several scholarships that allow international students to cover part of their tuition fees in both undergraduate and graduate programmes. Scholarships are offered as a tuition discount for international students and take effect at the time of their enrolment in HSE. The scholarships are granted for the full period of studies.

Helena Wiehahn, postgraduate student of Stellenbosch University, spent the last Fall semester at the HSE Faculty of Computer Science. She told us about the exchange program, differences between the two countries and "Ded Moroz”.

Two students from the ‘Financial Technologies and Data Analysis’ master's programme, Nikita Churkin and Dmitry Simakov, took second place  and won 100,000 rupees (approximately 100,000 rubles) at the WNS Analytics Wizard international hackathon 2018, held on September 14-16. The competition was organised by the Indian platform Analytics Vidhuya (similar to the American Kaggle).

Attracted by the famous mathematical education in Russia, Alfredo Alejandro De la Fuente Briceño decided to travel halfway around the world to enrol in HSE’s Master’s Programme in Statistical Learning Theory, a new joint programme between HSE and Skoltech aimed at training the next generation of scientists to carry out fundamental research and work on challenging new problems in statistical learning theory. After completing his Bachelor’s degree in Petroleum and Natural Gas Engineering at the National University of Engineering in Lima, Peru, the 25-year-old was encouraged by several professors and friends to try a programme in a different language and tradition and step outside his comfort zone.

In 2017, the HSE Faculty of Computer Science and Skoltech are opening admissions to the Master’s programme inStatistical Learning Theory, which will become the successor to theMathematical Methods of Optimization and Stochastics programme.Vladimir Spokoiny, the programme’s academic supervisor and professor of mathematics at Humboldt University in Berlin, told us about the research part of the new programme and the opportunities it offers to both Master’s students and undergraduate students alike.

In 2017, HSE will enroll students in 216 undergraduate and master’s programmes, including over 20 English-taught programmes. The application period for international students to HSE graduate and undergraduate programmes opened on November 1. This year, there are three application rounds. The final deadline is July 1, 2017.

The Master’s programme in System and Software Engineering aims to provide students an opportunity not only to acquire the knowledge and experience they need in their chosen profession, but also to help them generate a systemic view on bringing resolutions to the difficult professional challenges they are certain to face in the future. Academic Supervisor Dmitry Alexandrov talks about programme features and international students share their experience of living and studying in Moscow.

Bruno Bauwens, an expert in Kolmogorov complexity, is a new recruit at the HSE Faculty of Computer Science. He started in September 2015. Bruno received his PhD from Ghent University in Belgium, after which he held postdoctoral fellowships at Porto University (Portugal), as well as at the University of Montpellier and University of Lorraine. Associate Professor Bruno Bauwens spoke to HSE English News about his research and  about settling in to life and work in the international academic community in Moscow.

On August 30, 2015, the Summer School on Machine Learning in High Energy Physics wrapped up this year’s session. The school, which was held at the St. Petersburg Academic University, was organized by HSE in cooperation with the Yandex School of Data Analysis (SDA) and the Yandex Data Factory (YDF). This school is continuing cooperation between Yandex and CERN, which involves YDF and SDA researchers working together with experimental physicists on solving current problems in the field of physics. Many tasks require using machine learning approaches, which allow for greater accuracy and efficiency in these studies.